Databricks Developer
Inetum · Bucharest, Bucharest, Romania
Apply directly on Inetum’s careers site — no account needed.
About the role
- Design, develop, maintain, and optimize data solutions on the Databricks platform.
- Build and manage end-to-end ETL/ELT pipelines using Databricks, PySpark, and SQL.
- Develop and maintain data ingestion, transformation, and publishing processes from multiple data sources.
- Implement and optimize Delta Lake structures, data models, and Data Lakehouse architectures.
- Develop Change Data Capture (CDC), historization, reconciliation, and data quality processes.
- Ensure data traceability, consistency, monitoring, logging, and operational support across the entire data lifecycle.
- Troubleshoot production incidents, perform data recovery activities, and ensure platform stability.
- Optimize processing performance, resource utilization, and platform costs.
- Contribute to development standards, automation, CI/CD practices, and technical best practices.
- Provide technical leadership, mentoring, and guidance to team members.
- 5+ years of experience in Data Warehouse, Big Data, or enterprise data platform development.
- 2–3+ years of hands-on experience with Azure Databricks.
- Proven experience delivering complex Data Warehouse, Data Mart, Data Lake, or Data Lakehouse projects.
- Strong expertise in PySpark, Advanced SQL, Delta Lake, Data Modeling, ETL/ELT processes, and Data Quality frameworks.
- Experience building and managing end-to-end data pipelines and orchestration solutions.
- Solid understanding of Data Lakehouse architecture, data governance, and data quality principles.
- Experience with Git, Jira, and modern software development practices.
- Ability to take full ownership of technical deliveries and drive solution implementation independently.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Experience in the banking sector, including retail banking, financial reporting, risk, compliance, and regulatory reporting, is considered a strong advantage.
- Additional experience with Azure Data Factory, Kafka, Event Streaming, CI/CD, Unity Catalog, Machine Learning on Databricks, or Qlik Sense is a plus.
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and training to sustain your growth
- Medical insurance
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings
Skills
- GitHub Actions
- Salesforce
- REST
- JavaScript
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